
MNISThttp://yann.lecun.com/exdb/mnist [1]}: set of \(28 \times 28\)  grayscale images of handwritten digits (0-9), i.e., 10 classes. The original version contains a training set with \(60,000\)  images from digits `0'-`9', as well as a test set with \(10,000\)  images;

Fashion-MNISThttps://github.com/zalandoresearch/fashion-mnist [2]}: set of \(28 \times 28\)  grayscale images of clothing objects. The original version contains a training set with \(60,000\)  images from 10 distinct objects (t-shirt, trouser, pullover, dress, coat, sandal, shirt, sneaker, bag, and ankle boot), and a test set with \(10,000\)  images;

Kuzushiji-MNISThttps://github.com/rois-codh/kmnist [3]}: set of \(28 \times 28\)  grayscale images of hiragana characters. The original version contains a training set with \(60,000\)  images from 10 previously selected hiragana characters, and a test set with \(10,000\)  images.

